Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment
Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment
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DOI：
10.1109/candar.2013.57
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发表时间：
2013-12
期刊：
影响因子：
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通讯作者：
Y. Nomura;Y. Masutani;S. Miki;S. Hanaoka;M. Nemoto;T. Yoshikawa;N. Hayashi;K. Ohtomo
中科院分区：
文献类型：
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作者：
Y. Nomura;Y. Masutani;S. Miki;S. Hanaoka;M. Nemoto;T. Yoshikawa;N. Hayashi;K. Ohtomo
计算机辅助检测（CAD）软件的性能取决于用于监督学习的数据集的质量和数量。如果开发和实际使用中的数据特征不一致，会降低CAD软件的性能。因此，有必要在实际应用中不断收集数据进行监督学习，并通过使用收集的数据进行再训练来改进CAD软件。为此，我们开发了一个基于Web的CAD软件处理和评估平台（CIRCUS CS），它提供了在线处理的CAD软件和接口，以评估从CAD软件获得的结果。对于一项多机构研究，我们将CIRCUS CS实施到远程放射学环境中，自2011年9月以来一直在实际使用。在这项研究中，我们调查了CAD软件的性能改善，为每个机构的基础上，通过模拟为基础的研究再培训。根据结果，CAD软件的性能为每个机构提高了再培训。
The performance of computer-assisted detection (CAD) software depends on quality and quantity of the dataset used for supervised learning. If the data characteristics in development and practical use are different, the performance of CAD software will be degraded. Therefore, it is necessary to continuously collect data for supervised learning in practical use, and to improve CAD software by retraining with the collected data. For this purpose, we developed a web-based CAD software processing and evaluation platform (CIRCUS CS), which provides on-line processing of CAD software and interfaces to evaluate the results obtained from CAD software. For a multi-institutional study, we implemented CIRCUS CS into a teleradiology environment, which has been in practical use since September 2011. In this study, we investigated the performance improvement of CAD software for each institution based on retraining through a simulation-based study. According to the results, the performance of CAD software for each institution was improved by retraining.